axiosvspycurl

MIT 267 16 108,987

427.4 million (month) Aug 29 2014 1.15.0(2026-04-08 16:09:38 ago)

1,147 10 6 LGPL-2.1

Feb 25 2003 5.2 million (month) 7.45.7(2025-09-24 13:35:56 ago)

axios is a popular JavaScript library that allows you to make HTTP requests from a Node.js environment. It is a promise-based library that works in both the browser and Node.js. It is similar to the Fetch API, but with a more powerful feature set and better browser compatibility.

One of the main benefits of using axios is that it automatically transforms the response data into a JSON object, making it easy to work with.

Axios is known for user-friendly API and support for asynchronous async/await syntax making it very accessible in web scraping.

PycURL is a Python interface to libcurl, a multi-protocol file transfer library written in C. PycURL allows developers to use a variety of network protocols in their Python programs, including HTTP, FTP, SMTP, POP3, and many more.

PycURL is often used in web scraping, data analysis, and automation tasks, as it allows developers to send and receive data over the internet. It can be used to perform various types of requests, such as GET, POST, PUT, and DELETE, and can also handle file uploads and downloads, cookies, and redirects.

One of the key features of PycURL is its support for SSL and proxy servers, which allows developers to securely transfer data over the internet and work around any network restrictions. PycURL also supports a wide range of authentication methods, such as Basic, Digest, and NTLM, and allows developers to easily set custom headers and query parameters.

Just like cURL itself, PycURL is also highly configurable and allows for fine-grained control over various aspects of the transfer, such as timeouts, retries, buffer sizes, and verbosity levels. Additionally, PycURL also provides easy access to the underlying libcurl library, which allows developers to access advanced functionality that is not exposed by the PycURL API.

It's important to note that PycURL is a wrapper around the libcurl library and therefore provides the same functionality and performance as libcurl.

Main strengths of PycURL is that it uses cURL which is one of the most feature rich low-level http clients. The downside is that it's a very low-level client (see the examples below) with complex API making use in web scraping very difficult and niche.

Highlights

uses-curlhttp2multi-partresponse-streaminghttp-proxy

Example Use

```javascript // axios can be used with promises: axios.get('http://httpbin.org/json') .then(response => { console.log(response.data); }) .catch(error => { console.log(error); }); // or async await syntax: var resp = await axios.get('http://httpbin.org/json'); console.log(resp.data); // to make requests concurrently Promise.all function can be used: const results = await Promise.all([ axios.get('http://httpbin.org/html'), axios.get('http://httpbin.org/html'), axios.get('http://httpbin.org/html'), ]) // axios also supports other type of requests like POST and even automatically serialize them: await axios.post('http://httpbin.org/post', {'query': 'hello world'}); // or formdata const data = {name: 'John Doe', email: 'johndoe@example.com'}; await axios.post('https://jsonplaceholder.typicode.com/users', querystring.stringify(data), { headers: { 'Content-Type': 'application/x-www-form-urlencoded' } } ); // default values like headers can be configured globally axios.defaults.headers.common['User-Agent'] = 'webscraping.fyi'; // or for session instance: const instance = axios.create({ headers: {"User-Agent": "webscraping.fyi"}, }) ```

```python import pycurl from io import BytesIO buf = BytesIO() headers = BytesIO() c = pycurl.Curl() c.setopt(c.HTTP_VERSION, c.CURL_HTTP_VERSION_2_0) # set to use http2 # set proxy c.setopt(c.PROXY, 'http://proxy.example.com:8080') c.setopt(c.PROXYUSERNAME, 'username') c.setopt(c.PROXYPASSWORD, 'password') # make a request c.setopt(c.URL, 'https://httpbin.org/get') c.setopt(c.WRITEFUNCTION, buf.write) # where to save response body c.setopt(c.HEADERFUNCTION, headers.write) # where to save response headers # to make post request enable POST option: # c.setopt(c.POST, 1) # c.setopt(c.POSTFIELDS, 'key1=value1&key2=value2') c.perform() # send request # read response data = buf.getvalue().decode() headers = headers.getvalue().decode() # headers as a string headers = dict([h.split(': ') for h in headers.splitlines() if ': ' in h]) # headers as a dict c.close() # multiple concurrent requests can be made using CurlMulti object: # Create a CurlMulti object multi = pycurl.CurlMulti() # Set the number of maximum connections multi.setopt(pycurl.MAXCONNECTS, 5) # Create a list to store the Curl objects curls = [] # Add the first request c1 = pycurl.Curl() c1.setopt(c1.URL, 'https://httpbin.org/get') c1.setopt(c1.WRITEFUNCTION, BytesIO().write) multi.add_handle(c1) curls.append(c1) # Add the second request c2 = pycurl.Curl() c2.setopt(c2.URL, 'https://httpbin.org/') c2.setopt(c2.WRITEFUNCTION, BytesIO().write) multi.add_handle(c2) curls.append(c2) # Start the requests while True: ret, _ = multi.perform() if ret != pycurl.E_CALL_MULTI_PERFORM: break # Close the connections for c in curls: multi.remove_handle(c) c.close() ```

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